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A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic accuracy studies
BACKGROUND: Bivariate random-effects models represent a widely accepted and recommended approach for meta-analysis of test accuracy studies. Standard likelihood methods routinely used for inference are prone to several drawbacks. Small sample size can give rise to unreliable inferential conclusions...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225626/ https://www.ncbi.nlm.nih.gov/pubmed/28077079 http://dx.doi.org/10.1186/s12874-016-0284-2 |